arxivcs.LG2026-07-14
Verifier-Based Reinforcement Fine-Tuning of Reasoning Models for Thermal Energy Storage Control
Takumi Shioda, Kohei Terashima, Tatsuo Nagai
Buildings are expected to shift cooling loads in response to grid conditions. Thermal energy storage (TES) enables this shift, but scheduling it well requires planning hours ahead under storage constraints. Model predictive control (MPC) and reinforcement learning are difficult t…